code: def concat(
      dfs,
      axis=0,
      join="outer",
      uniform=False,
      filter_warning=True,
      ignore_index=False,
      **kwargs,
  ):
      """Concatenate, handling some edge cases:
  
      - Unions categoricals between partitions
      - Ignores empty partitions
  
      Parameters
      ----------
      dfs : list of DataFrame, Series, or Index
      axis : int or str, optional
      join : str, optional
      uniform : bool, optional
          Whether to treat ``dfs[0]`` as representative of ``dfs[1:]``. Set to
          True if all arguments have the same columns and dtypes (but not
          necessarily categories). Default is False.
      ignore_index : bool, optional
          Whether to allow index values to be ignored/dropped during
          concatenation. Default is False.
      ignore_order : bool, optional
          Whether to ignore the order when doing the union of categoricals.
          Default is False.
      """
      if len(dfs) == 1:
          return dfs[0]
      else:
          func = concat_dispatch.dispatch(type(dfs[0]))
          return func(
              dfs,
              axis=axis,
              join=join,
              uniform=uniform,
              filter_warning=filter_warning,
              ignore_index=ignore_index,
              **kwargs,
          )
  
file_path: dask/dask/dataframe/dispatch.py
imports: from __future__ import annotations
  import pandas
  from dask import is_dask_collection
  from dask.utils import Dispatch
label_desc: Use image node_id 1 for calling a global function with example usage: concat(dfs, axis, join, uniform, filter_warning, ignore_index) and returns: dfs, func